2 papers
cs.CL2025
Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
Francisco Jose Cortes Delgado, Eduardo Martinez Gracia, Rafael Valencia Garcia
Recent advances in natural language processing with large neural models have opened new possibilities for syntactic analysis based on machine learning. This work explores a novel a…
cs.CV2019
Integration of Text-maps in Convolutional Neural Networks for Region Detection among Different Textual Categories
Roberto Arroyo, Javier Tovar, Francisco J. Delgado +3
In this work, we propose a new technique that combines appearance and text in a Convolutional Neural Network (CNN), with the aim of detecting regions of different textual categorie…